HYPERSPECTRAL CHANGE DETECTION IN WETLAND AND WATER-BODY AREAS BASED ON MACHINE LEARNING

5 citations as recorded by crossref.

1. Hyperspectral imaging for rice cultivation: Applications, methods and challenges F. Arias et al. https://doi.org/10.3934/agrfood.2021018
2. ABBD: Accumulated Band-Wise Binary Distancing for Unsupervised Parameter-Free Hyperspectral Change Detection Y. Li et al. https://doi.org/10.1109/JSTARS.2024.3407212
3. Mapping shoreline change using machine learning: a case study from the eastern Indian coast L. Kumar et al. https://doi.org/10.1007/s11600-020-00454-9
4. Wetland land cover change detection using multitemporal Landsat data: a case study of the Al-Asfar wetland, Kingdom of Saudi Arabia W. Chouari https://doi.org/10.1007/s12517-021-06815-y
5. Integration of Hyperspectral Imaging and Deep Learning for Sustainable Mangrove Management and Sustainable Development Goals Assessment P. Ilamathi & S. Chidambaram https://doi.org/10.1007/s13157-024-01887-4